AI Bytes: Texas Instruments

Autonomous driving systems are complex. They require the seamless integration of multiple technologies and need to interact with cloud platforms for data generation and storage. Enormous amounts of data is processed in real time for a variety of sensors.

The algorithmic ecosystem comprises (1) sensors, through a subset of sensor disciplines, (2) perception — localization through positioning, (3) perception — object identification and tracking, followed by (4) decision making. This consumes a shit ton of processing power that consumes a shit ton of energy. Latency at any point in the system can be deadly.

Edge computing mitigates latency and helps accomplish the large amount of data processing required for autonomous control on the roads. Edge systems provide sufficient computing power within the vehicle-to-everything (V2X) framework, allowing the autonomous system to make decisions in real time.

Texas Instruments is at the forefront of Edge computing for autonomous vehicle solutions. Their systems are designed to process a variety of tasks in an expedient and energy efficient manner.

Conclusion

If you, like me, believe the proliferation of autonomous vehicles is inevitable, Texas Instruments is worthy of consideration. Research from ARK suggests autonomous ride-hailing, a subset of the AV…